[CodeStyle][Typos][C-[39-41],C-[43-47]] Fix typos (configed,`config…

…urated`,`conficte`,`conjuction`,`consequtive`,`consistant`,`contraints`,`contruction`,`consructor`) (#69855)
PaddlePaddle · Dec 2, 2024 · 4409040 · 4409040
1 parent 1cc1d8b
commit 4409040
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Showing 11 changed files with 13 additions and 22 deletions.
diff --git a/_typos.toml b/_typos.toml
@@ -71,15 +71,6 @@ comple = 'comple'
 complition = 'complition'
 complext = 'complext'
 compsite = 'compsite'
-configurated = 'configurated'
-configed = 'configed'
-confict = 'confict'
-conjuction = 'conjuction'
-consequtive = 'consequtive'
-consistant = 'consistant'
-contraints = 'contraints'
-contruction = 'contruction'
-consructor = 'consructor'
 comsume = 'comsume'
 Continer = 'Continer'
 contenst = 'contenst'

diff --git a/paddle/cinn/ir/group_schedule/search/config_searcher.cc b/paddle/cinn/ir/group_schedule/search/config_searcher.cc
@@ -202,15 +202,15 @@ bool CandidateGenerator::IsValid(const CandidateType& candidate) const {
 ScheduleConfigSearcher::ScheduleConfigSearcher(
     std::vector<std::unique_ptr<BaseObjectiveFunc>> objective_funcs,
     const std::vector<std::pair<int, int>>& candidate_range,
-    const std::vector<ConstraintFunc>& contraints)
+    const std::vector<ConstraintFunc>& constraints)
     : objective_funcs_(std::move(objective_funcs)),
       candidate_range_(candidate_range),
-      contraints_(contraints) {}
+      constraints_(constraints) {}
 
 std::pair<ScoreType, CandidateType> ScheduleConfigSearcher::Search(
     bool is_search_minimun) {
   VLOG(6) << "Start Search...";
-  CandidateGenerator candidate_generator(candidate_range_, contraints_);
+  CandidateGenerator candidate_generator(candidate_range_, constraints_);
   std::vector<CandidateType> candidates = candidate_generator.Candidates();
   VLOG(6) << "Candidate num = " << candidates.size();
   for (const auto& candidate : candidates) {

diff --git a/paddle/cinn/ir/group_schedule/search/config_searcher.h b/paddle/cinn/ir/group_schedule/search/config_searcher.h
@@ -85,13 +85,13 @@ class ScheduleConfigSearcher {
   ScheduleConfigSearcher(
       std::vector<std::unique_ptr<BaseObjectiveFunc>> objective_funcs,
       const std::vector<std::pair<int, int>>& candidate_range,
-      const std::vector<ConstraintFunc>& contraints = {});
+      const std::vector<ConstraintFunc>& constraints = {});
 
   std::pair<ScoreType, CandidateType> Search(bool is_search_minimun = true);
 
  private:
   std::vector<std::unique_ptr<BaseObjectiveFunc>> objective_funcs_;
-  std::vector<ConstraintFunc> contraints_;
+  std::vector<ConstraintFunc> constraints_;
   std::vector<std::pair<int, int>> candidate_range_;
 
   std::map<ScoreType, CandidateType> records_;

diff --git a/paddle/fluid/distributed/ps/thirdparty/round_robin.h b/paddle/fluid/distributed/ps/thirdparty/round_robin.h
@@ -202,7 +202,7 @@ static Counts &counts() {
 #define ROBIN_HOOD_PRIVATE_DEFINITION_HAS_NATIVE_WCHART() 1
 #endif
 
-// detect if MSVC supports the pair(std::piecewise_construct_t,...) consructor
+// detect if MSVC supports the pair(std::piecewise_construct_t,...) constructor
 // being constexpr
 #ifdef _MSC_VER
 #if _MSC_VER <= 1900

diff --git a/paddle/fluid/framework/ir/fusion_group/subgraph.h b/paddle/fluid/framework/ir/fusion_group/subgraph.h
@@ -123,7 +123,7 @@ class SubGraph {
   }
 
   std::vector<Node*> GetOutputVarNodes(bool with_intermediate_out) {
-    // The order of output nodes should be consistant anywhere..
+    // The order of output nodes should be consistent anywhere..
     std::vector<Node*> output_vars;
     for (auto* n : SortedNodes()) {
       if (IsOutputOfInternalOp(n)) {

diff --git a/paddle/phi/infermeta/spmd_rules/utils.cc b/paddle/phi/infermeta/spmd_rules/utils.cc
@@ -106,7 +106,7 @@ std::unordered_map<std::string, int64_t> ShardingMergeForTensors(
     }
   }
 
-  // Resolute "mesh_dim shard by more than one axis" confict.
+  // Resolute "mesh_dim shard by more than one axis" conflict.
   // Now we just naive pick the first axis naively.
   // (TODO) use local cost model to pick the axis with lowest cost(in concern of
   // memory or communication or computation).

diff --git a/paddle/phi/kernels/funcs/dims_simplifier.h b/paddle/phi/kernels/funcs/dims_simplifier.h
@@ -52,7 +52,7 @@ struct BroadcastDimsSimplifier {
     }
     ExtendInputDimensions(axis);
 
-    // To Merge the dimensions of input_tensors while the consequtive
+    // To Merge the dimensions of input_tensors while the consecutive
     // equal-dimensions appears. Example below :
     //   in_1.shape = [2, 3, 4, 5]    in_1.shape = [2, 12, 5]
     //   in_2.shape = [1, 3, 4, 5] -> in_2.shape = [1, 12, 5]

diff --git a/paddle/phi/kernels/gpu/rms_norm_kernel.cu b/paddle/phi/kernels/gpu/rms_norm_kernel.cu
@@ -568,7 +568,7 @@ inline GPU(Error_t)
     }
   }
 
-  static const bool max_smem_configed = [=]() {
+  static const bool max_smem_configured = [=]() {
     int max_smem_size = 0;
     GPU(Error_t)
     err = GPU(DeviceGetAttribute)(

diff --git a/paddle/utils/tribool.h b/paddle/utils/tribool.h
@@ -168,7 +168,7 @@ inline tribool operator!(tribool x) {
 }
 
 /**
- * \brief Computes the logical conjuction of two tribools
+ * \brief Computes the logical conjunction of two tribools
  *
  * \returns the result of logically ANDing the two tribool values,
  * according to the following table:

diff --git a/test/cpp/phi/kernels/sequence_pooling_test.cc b/test/cpp/phi/kernels/sequence_pooling_test.cc
@@ -52,7 +52,7 @@ void TestSequencePoolingSum(const DeviceContext &context,
       common::make_ddim({static_cast<int64_t>(lod[0].back()), second_dim});
   in_grad.mutable_data<T>(in_dims, place);
 
-  // check tensor contruction result
+  // check tensor construction result
   PADDLE_ENFORCE_EQ(
       in_grad.dims().size(),
       out_grad.dims().size(),

diff --git a/test/deprecated/book/test_recommender_system_deprecated.py b/test/deprecated/book/test_recommender_system_deprecated.py
@@ -38,7 +38,7 @@
 
 def get_usr_combined_features():
     # FIXME(dzh) : old API integer_value(10) may has range check.
-    # currently we don't have user configurated check.
+    # currently we don't have user configured check.
 
     USR_DICT_SIZE = paddle.dataset.movielens.max_user_id() + 1